Instructions to use Hartunka/distilbert_rand_5_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hartunka/distilbert_rand_5_v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, DistilBertForLDAMaskedLM tokenizer = AutoTokenizer.from_pretrained("Hartunka/distilbert_rand_5_v2") model = DistilBertForLDAMaskedLM.from_pretrained("Hartunka/distilbert_rand_5_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 30000
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 270332908
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1709cb52320db5d451ca6a0f5a82f2e0c778729efa8d391c786036fb146b1c6f
|
| 3 |
size 270332908
|